GHSA-2VHW-Q7VH-7XV2
Vulnerability from github – Published: 2026-04-01 21:11 – Updated: 2026-04-01 21:11
VLAI
Summary
openssl-encrypt's readiness endpoint leaks database error details to unauthenticated callers
Details
Summary
The /ready endpoint in openssl_encrypt_server/server.py at lines 159-175 catches database errors and returns the full exception string in the response.
Affected Code
except Exception as e:
return {"status": "not_ready", "reason": str(e)}
Impact
Database exception messages can leak: - Database hostnames and IP addresses - Connection parameters and port numbers - Driver version information - Potentially database credentials if included in connection string errors
This information is available to unauthenticated callers.
Recommended Fix
- Return a generic error message:
{"status": "not_ready", "reason": "database unavailable"} - Log the full exception server-side for debugging
Fix
Fixed in commit 7aa8787 on branch releases/1.4.x — replaced str(e) with generic "database check failed" message; full exception logged server-side at WARNING level.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "openssl-encrypt"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.4.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-201"
],
"github_reviewed": true,
"github_reviewed_at": "2026-04-01T21:11:59Z",
"nvd_published_at": null,
"severity": "MODERATE"
},
"details": "### Summary\n\nThe `/ready` endpoint in `openssl_encrypt_server/server.py` at **lines 159-175** catches database errors and returns the full exception string in the response.\n\n### Affected Code\n\n```python\nexcept Exception as e:\n return {\"status\": \"not_ready\", \"reason\": str(e)}\n```\n\n### Impact\n\nDatabase exception messages can leak:\n- Database hostnames and IP addresses\n- Connection parameters and port numbers\n- Driver version information\n- Potentially database credentials if included in connection string errors\n\nThis information is available to unauthenticated callers.\n\n### Recommended Fix\n\n- Return a generic error message: `{\"status\": \"not_ready\", \"reason\": \"database unavailable\"}`\n- Log the full exception server-side for debugging\n\n### Fix\n\nFixed in commit `7aa8787` on branch `releases/1.4.x` \u2014 replaced str(e) with generic \"database check failed\" message; full exception logged server-side at WARNING level.",
"id": "GHSA-2vhw-q7vh-7xv2",
"modified": "2026-04-01T21:11:59Z",
"published": "2026-04-01T21:11:59Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/jahlives/openssl_encrypt/security/advisories/GHSA-2vhw-q7vh-7xv2"
},
{
"type": "WEB",
"url": "https://github.com/jahlives/openssl_encrypt/commit/7aa8787f4de2e9a23f58fca067bb16c4c69d28bb"
},
{
"type": "PACKAGE",
"url": "https://github.com/jahlives/openssl_encrypt"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:U",
"type": "CVSS_V4"
}
],
"summary": "openssl-encrypt\u0027s readiness endpoint leaks database error details to unauthenticated callers"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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